2026-04-14T07:22:57Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3887892026-01-14T06:27:10Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Bordalba Llaberia, Ricard author Schoels, Tobias author Ros Giralt, Lluís author Porta Pleite, Josep Maria author Diehl, Moritzz author 2022 © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Direct collocation methods are powerful tools to solve trajectory optimization problems in robotics. While their resulting trajectories tend to be dynamically accurate, they may also present large kinematic errors in the case of constrained mechanical systems, i.e., those whose state coordinates are subject to holonomic or nonholonomic constraints, such as loop-closure or rolling-contact constraints. These constraints confine the robot trajectories to an implicitly-defined manifold, which complicates the computation of accurate solutions. Discretization errors inherent to the transcription of the problem easily make the trajectories drift away from this manifold, which results in physically inconsistent motions that are difficult to track with a controller. This article reviews existing methods to deal with this problem and proposes new ones to overcome their limitations. Current approaches either disregard the kinematic constraints (which leads to drift accumulation) or modify the system dynamics to keep the trajectory close to the manifold (which adds artificial forces or energy dissipation to the system). The methods we propose, in contrast, achieve full drift elimination on the discrete trajectory, or even along the continuous one, without artificial modifications of the system dynamics. We illustrate and compare the methods using various examples of different complexity. This work was supported in part by the Spanish Ministry of Science, Innovation, and Universities under Project DPI2017-88282-P and Project PID2020-117509GBI00/AEI/10.13039/50110001103 and in part by the German Federal Ministry for Economic Affairs and Energy (BMWi) via DyConPV (0324166B) Peer Reviewed Postprint (author's final draft) Àrees temàtiques de la UPC::Informàtica::Robòtica Robots Trajectory optimization Motion planning Constrained system Holonomic Nonholonomic Direct collocation Manifold Drift Basic Baumgarte Projection PKT Local coordinates Classificació INSPEC::Optimisation Direct collocation methods for trajectory optimization in constrained robotic systems